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Data Cleaning with R


Date:Tuesday, February 6, 2018 Time:9:00am - 12:00pm Location:Young Research Library, West Classroom Categories:R (programming language)

It is often said that data analysts spend up to 80% of their time cleaning and processing data while only 20% actually analyzing it. Learning how to clean and work with data is a critical skill. This workshop will give you a basic introduction to data preparation in R using the tidyverse (tidyR, dplyr and stringr packages). Once you complete this course you’ll be able to take raw data and get it ready for your analytical powers.

Prerequisite: Some knowledge of R a must. Either attend our Intro to R course on 124 or work through Data Camp’s Intro to R free course.

Instructor: Tim Dennis, Director of the Data Archive and Software Carpentry Instructor.


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